cmenet: Bi-Level Selection of Conditional Main Effects

Provides functions for implementing cmenet - a bi-level variable selection method for conditional main effects (see Mak and Wu (2018) <doi:10.1080/01621459.2018.1448828>). CMEs are reparametrized interaction effects which capture the conditional impact of a factor at a fixed level of another factor. Compared to traditional two-factor interactions, CMEs can quantify more interpretable interaction effects in many problems. The current implementation performs variable selection on only binary CMEs; we are working on an extension for the continuous setting.

Version:	0.1.2
Imports:	Rcpp (≥ 0.12.4), MASS, glmnet, hierNet, sparsenet
LinkingTo:	Rcpp, RcppArmadillo
Published:	2022-05-27
DOI:	10.32614/CRAN.package.cmenet
Author:	Simon Mak
Maintainer:	Simon Mak <sm769 at duke.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	cmenet results

Documentation:

Reference manual:

cmenet.pdf

Downloads:

Package source:	cmenet_0.1.2.tar.gz
Windows binaries:	r-devel: cmenet_0.1.2.zip, r-release: cmenet_0.1.2.zip, r-oldrel: cmenet_0.1.2.zip
macOS binaries:	r-release (arm64): cmenet_0.1.2.tgz, r-oldrel (arm64): cmenet_0.1.2.tgz, r-release (x86_64): cmenet_0.1.2.tgz, r-oldrel (x86_64): cmenet_0.1.2.tgz
Old sources:	cmenet archive

Linking:

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